mufeedvh/code2prompt

Health v2 · maintenance only

Adoption not part of the score

7619 stars · 436 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Code2Prompt is a Rust-based CLI tool that converts an entire codebase into a single structured LLM prompt, including a source tree, file contents, token counts, and optional Git diffs. It also ships as a Python SDK and an MCP server, making it usable for manual prompting, AI agents, and automation.

Use cases

• convert my codebase into a prompt for ChatGPT or Claude
• generate LLM context from a repository with a source tree
• count tokens before sending code to an LLM
• prepare code review prompts with git diffs
• build AI agents that ingest codebases programmatically
• filter which files go into an LLM prompt using glob patterns
• run an MCP server that exposes my codebase to an LLM

When to choose

• you need to hand a whole codebase or directory to an LLM as context
• you want token counting and .gitignore-aware filtering to fit context windows
• you want templated prompts (Handlebars) and clipboard/file output from the terminal
• you need a code-ingestion SDK or MCP server for agent workflows

When to avoid

• your codebase is too large for any LLM context window and you need semantic retrieval/RAG instead
• you want an IDE-integrated AI assistant rather than a standalone prompt generator
• you need to send code to LLM APIs directly rather than preparing prompt text

Facets

cli-tool · maturity active

llm-inference prompt-engineering cli developer-tools mcp developer-tools large-language-models artificial-intelligence windows cli rust python context-engineering codebase-to-prompt token-counting handlebars-templates git-integration sdk command-line linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="mufeedvh/code2prompt")